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Santiago Ramón y Cajal (Spanish Nobel Prize winner, 1906) A scholars positive contribution is measured by the sum of the original data that he contributes. Hypotheses come and go, but data remain.

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Data Management Do data really remain? Only if carefully and professionally managed

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What is data management? All activities concerning data to maximize the value of data by preserving data for future (re-)use. The primary objective of data management is to ensure timely, efficient and open access to the best possible data, metadata and associated products, for use and re-use throughout their life-cycle and to prevent loss of data and associated information POGO – Partnership for Observing the Global Ocean Data Management

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Why would you want to manage the data? Value of the data - to your research work - to society Data are NOT your personal property Public money = Public good Data Management

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What activities are part of good data management? - Securing and archiving both raw and processed data - Ensuring complete metadata, so that future generations of scientists will be able to use the data - Making the data available and accessible - Showing the world the existence of the data This is all done by professional data centres Data Management

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What are the benefits (for you) of sharing data through a professional data centre? Secure Archiving The data centre preserves the data for eternity Dr. Øystein Godøy, Norwegian Meteorological Institute New collaborations New use (= new life) of the data (in unexpected applications) Furthers interdisciplinary research Increases recognition for work done Independent verification of research results: better science Reduces workload (handling data requests for you) Data Management

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What developments can be discerned? Free, unrestricted and timely exchange of data Free = no money paid, unrestricted = no conditions on use of the data, timely = asap Increasingly stricter requirements by funding agencies and research organizations and programmes International Perspectives and New Developments

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What developments can be discerned? Fair attribution: acknowledgement of the work done by the data provider (= the scientist) Data citation Data sets can be published and cited International Perspectives and New Developments

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What developments can be discerned? Fair attribution: acknowledgement of the work done by the data provider (= the scientist) Data citation Important role and responsibility for funding agencies to develop a system for giving as much credit to a data citation as to a journal citation International Perspectives and New Developments